The Impact of Implementing a Moodle Plug-in as an AI-based Adaptive Learning Solution on Learning Effectiveness: Case of Morocco

Aymane Ezzaim, A. Dahbi, A. Haidine, Abdelhak Aqqal
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Abstract

This article presents feedback on the implementation of an Artificial Intelligence-based adaptive learning Moodle plugin aimed at enhancing the engagement levels and academic performance of 102 Moroccan high school students. The primary objective of this study was to assess and compare the performance of students utilizing the adaptive learning system with those employing conventional learning methods. To guarantee the efficacy of this approach, a participant satisfaction survey and a comprehensive summative evaluation were conducted, revealing the positive impact of AI-based adaptive learning on the participants. The results of this study highlight the potential benefits of integrating AI-driven adaptive learning into high school computer science curricula, emphasizing how it may raise student engagement and academic performance. These results strengthen the determination to use this teaching methodology with students in future educational activities.
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实施 Moodle 插件作为基于人工智能的自适应学习解决方案对学习效果的影响:摩洛哥案例
本文介绍了对基于人工智能的自适应学习 Moodle 插件实施情况的反馈,该插件旨在提高 102 名摩洛哥高中学生的参与水平和学习成绩。本研究的主要目的是评估和比较使用自适应学习系统的学生与使用传统学习方法的学生的成绩。为了保证这种方法的有效性,还进行了参与者满意度调查和综合总结性评估,结果显示基于人工智能的自适应学习对参与者产生了积极影响。这项研究的结果凸显了将人工智能驱动的自适应学习融入高中计算机科学课程的潜在益处,强调了它可以如何提高学生的参与度和学业成绩。这些结果坚定了在未来的教育活动中对学生使用这种教学方法的决心。
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